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Enabling Containerized, Parametric and Distributed Database Deployment and Benchmarking as a Service

Published: 19 April 2021 Publication History

Abstract

Containerized environments introduce a set of performance challenges that require extensive measurements and benchmarking to identify and model application behavior regarding a variety of parameters. Databases present extra challenges given their extensive need for synchronization and orchestration of a benchmark run, especially in microservice-oriented technologies (such as container platforms) and dynamic business models such as DBaaS. In this work we describe the adaptation of our open source, baseline load injection as a service tool, Flexibench, in order to enable the automated, parametric launching and measurement of containerized and distributed databases as a service. Adaptation and synchronization needs are described for ensuring test sequence and applied through a case study on MySQL. Therefore a performance engineer can directly test selected configuration and performance of a database in a given target workload with simple REST invocations. Experimentation starts from adapting the official MySQL docker images as well as OLTP Bench Client ones and investigates scenarios such as parameter sweep experiments and co-allocation scenarios where multiple DB instances are sharing physical nodes, as expected in the DBaaS paradigm.

References

[1]
M. Grambow, J. Hasenburg, T. Pfandzelter, and D. Bermbach. 2019. Is it safe to dockerize my database benchmark? In Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing (SAC '19). Association for Computing Machinery, New York, NY, USA,341--344.
[2]
Silva, M., Hines, M.R., Gallo, D., Liu, Q., Ryu, K.D. and Da Silva, D., 2013, March. Cloudbench: Experiment automation for cloud environments. In 2013 IEEE International Conference on Cloud Engineering (IC2E) (pp. 302--311). IEEE.
[3]
Cooper, B.F., Silberstein, A., Tam, E., Ramakrishnan, R. and Sears, R., 2010, June. Benchmarking cloud serving systems with YCSB. In Proceedings of the 1st ACM symposium on Cloud computing (pp. 143--154). ACM.
[4]
Kyriazis, D., Doulkeridis, C., Gouvas, P., Jimenez-Peris, R., Ferrer, A.J., Kallipolitis, L., Kranas, P., Kousiouris, G., Macdonald, C., McCreadie, R. and Moatti, Y., 2018, July. BigDataStack: A holistic data-driven stack for big data applications and operations. In 2018 IEEE International Congress on Big Data (BigData Congress) (pp. 237--241)
[5]
Seybold, D., Volpert, S., Wesner, S., Bauer, A., Herbst, N.R. and Domaschka, J., 2020, January. Kaa: evaluating elasticity of cloud-hosted DBMS. In Proceedings. The 11th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2019) (Vol. 2019, pp. 54--61).
[6]
Osman, A., Hanisch, S. and Strufe, T., 2019, June. SeCoNetBench: A modular framework for Secure Container Networking Benchmarks. In 2019 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) (pp. 21--28). IEEE.
[7]
Wang, Y., Evans, R.T. and Huang, L., 2019. Performant container support for HPC applications. In Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning) (pp. 1--6).
[8]
Kozhirbayev, Z. and Sinnott, R.O., 2017. A performance comparison of container-based technologies for the cloud. Future Generation Computer Systems, 68, pp.175--182.
[9]
Bachiega, N.G., Souza, P.S., Bruschi, S.M. and de Souza, S.D.R., 2018, April. Container-based performance evaluation: A survey and challenges. In 2018 IEEE International Conference on Cloud Engineering (IC2E) (pp. 398--403). IEEE.
[10]
Gan, Y., Zhang, Y., Cheng, D., Shetty, A., Rathi, P., Katarki, N., Bruno, A., Hu, J., Ritchken, B., Jackson, B. and Hu, K., 2019, April. An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems. In Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems (pp. 3--18).
[11]
Sriraman, A. and Wenisch, T.F., 2018, September. ? Suite: A Benchmark Suite for Microservices. In 2018 IEEE International Symposium on Workload Characterization (IISWC) (pp. 1--12). IEEE.
[12]
v. Kistowski, J., Eismann, S., Grohmann, J., Schmitt, N., Bauer, A. and Kounev, S., 2019, March. TeaStore-A Micro-Service Reference Application for Performance Engineers. In Companion of the 2019 ACM/SPEC International Conference on Performance Engineering (pp. 47--48).
[13]
Kousiouris, G., Kyriazis, D., Gogouvitis, S., Menychtas, A., Konstanteli, K. and Varvarigou, T., 2011, June. Translation of application-level terms to resource-level attributes across the Cloud stack layers. In 2011 IEEE Symposium on Computers and Communications (ISCC) (pp. 153--160).
[14]
BigDataStack Project Deliverable 5.1, Available at: https://bigdatastack.eu/deliverables/d51-dimensioning-modelling-and-interaction-services-bigdatastack
[15]
Difallah, D.E., Pavlo, A., Curino, C. and Cudre-Mauroux, P., 2013. Oltp-bench: An extensible testbed for benchmarking relational databases. Proceedings of the VLDB Endowment, 7(4), pp.277--288.
[16]
Seybold, D., Keppler, M., Gründler, D. and Domaschka, J., 2019, April. Mowgli: Finding your way in the DBMS jungle. In Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering (pp. 321--332).

Cited By

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  • (2024)GeoDeploy: Geo-Distributed Application Deployment Using BenchmarkingIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2024.347053235:12(2361-2374)Online publication date: Dec-2024
  • (2022)Docker Container Performance Comparison on Windows and Linux Operating Systems2022 International Conference on Communications, Information, Electronic and Energy Systems (CIEES)10.1109/CIEES55704.2022.9990683(1-4)Online publication date: 24-Nov-2022
  • (2021)Benchmarking-as-a-service for cloud-hosted DBMSProceedings of the 22nd International Middleware Conference: Demos and Posters10.1145/3491086.3492473(12-13)Online publication date: 6-Dec-2021

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  1. Enabling Containerized, Parametric and Distributed Database Deployment and Benchmarking as a Service

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      cover image ACM Conferences
      ICPE '21: Companion of the ACM/SPEC International Conference on Performance Engineering
      April 2021
      198 pages
      ISBN:9781450383318
      DOI:10.1145/3447545
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Published: 19 April 2021

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      Author Tags

      1. benchmarking as a service
      2. container platforms
      3. databases

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      View all
      • (2024)GeoDeploy: Geo-Distributed Application Deployment Using BenchmarkingIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2024.347053235:12(2361-2374)Online publication date: Dec-2024
      • (2022)Docker Container Performance Comparison on Windows and Linux Operating Systems2022 International Conference on Communications, Information, Electronic and Energy Systems (CIEES)10.1109/CIEES55704.2022.9990683(1-4)Online publication date: 24-Nov-2022
      • (2021)Benchmarking-as-a-service for cloud-hosted DBMSProceedings of the 22nd International Middleware Conference: Demos and Posters10.1145/3491086.3492473(12-13)Online publication date: 6-Dec-2021
      • (2021)A self-adaptive batch request aggregation pattern for improving resource management, response time and costs in microservice and serverless environments2021 IEEE International Performance, Computing, and Communications Conference (IPCCC)10.1109/IPCCC51483.2021.9679422(1-10)Online publication date: 29-Oct-2021

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